A Comprehensive Taxonomy of DeFi Attack Patterns: 50 Vectors from 824 Incidents

Shiqiang Chen

doi:10.5281/zenodo.21426048

July 18, 2026Open Access

A Comprehensive Taxonomy of DeFi Attack Patterns: 50 Vectors from 824 Incidents

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Key Points

To create a systematic classification of DeFi attack patterns and analyze their financial implications.
Analyzed 824 incidents of DeFi attacks from 2018 to 2025.
Developed a taxonomy categorizing attack vectors based on severity and root causes.
Included a comprehensive Chinese translation of the findings.
Identified 50 distinct attack vectors across the analyzed incidents.
Mapped attack patterns to their severity levels and financial impacts.
Provided a structured framework for understanding DeFi security risks.

Implication

Taxonomy maps attack vectors to financial impact and severity, aiding in DeFi security analysis.

Abstract

A systematic taxonomy of DeFi attack patterns across 824 incidents (2018-2025). Maps attack vectors to root causes, severity, and financial impact. Now includes comprehensive Chinese translation.

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Cite This Study

Shiqiang Chen (2026) studied this question.

synapsesocial.com/papers/6a5dbad58bd453d3397abeda https://doi.org/10.5281/zenodo.21426048

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A Comprehensive Taxonomy of DeFi Attack Patterns: 50 Vectors from 824 Incidents

Key Points

Implication

Abstract

Discussion

Cite This Study

A Comprehensive Taxonomy of DeFi Attack Patterns: 50 Vectors from 824 Incidents

Key Points

Implication

Abstract

Discussion

Cite This Study

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